Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » DensityCut » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
chang_pathbased 1.0 alpha=0.42857142857142855
K=43
chang_spiral 1.0 alpha=0.05952380952380952
K=67
fraenti_s3 1.0 alpha=0.47619047619047616
K=239
bone_marrow_fixLabels 1.0 alpha=0.6
K=2
fu_flame 1.0 alpha=0.8571428571428571
K=205
gionis_aggregation 1.0 alpha=2.44140625E-4
K=11
veenman_r15 1.0 alpha=0.40773809523809523
K=41
zahn_compound 1.0 alpha=0.0
K=102
synthetic_spirals 1.0 alpha=0.047619047619047616
K=36
synthetic_cassini 1.0 alpha=0.5714285714285714
K=131
twonorm_100d 1.0 alpha=0.047619047619047616
K=124
twonorm_50d 1.0 alpha=0.19047619047619047
K=171
synthetic_cuboid 1.0 alpha=0.06101190476190475
K=27
bone_marrow 1.0 alpha=0.9674603174603175
K=10